A problem-based review in churn prediction model
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0167915
Reference41 articles.
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4. I. Ullah, B. Raza, A. K. Malik, M. Imran, S. W. Kim, A churn prediction model using random forest: analysis of machine learning techniques for churn prediction and factor identification in telecom sector, IEEE Access, (2019), (pp.99), 1-1.
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